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This community service program was carried out to enhance the technological literacy of residents in Telang Sari Village through the introduction of an automated street lighting system based on sensor technology. The system presented to the community utilizes an Arduino microcontroller integrated with an LDR sensor to detect light intensity and an ultrasonic sensor to identify the presence of nearby objects. With this configuration, the street lights operate automatically: they turn on when the environment becomes dark and an object is detected, and turn off when the surroundings are bright or no activity is detected in the sensing area. The program activities included device installation, technical explanation, and a live demonstration to ensure that residents comprehended its functions and benefits. Additionally, the use of solar panels was introduced as an alternative power source to support sustainable operation without relying on grid electricity. The results of the program showed a positive response from the community, as the system was considered effective in improving nighttime safety, reducing energy consumption, and requiring minimal maintenance. Overall, this activity successfully increased public understanding of automation technology and renewable energy applications suitable for rural community development.

This study aims to design and test a Dual Axis Solar Tracker to improve the energy absorption efficiency of solar panels on ships. The system is designed with a two-axis movement mechanism (horizontal and vertical) using a linear actuator motor controlled by Arduino Nano and ESP32. Testing was conducted on a 20 WP solar panel in Surabaya for 30 days, divided into three methods: 10 days using an LDR sensor, 10 days using an RTC, and 10 days in static conditions without a sensor. Voltage, current, and power data were measured every 30 minutes at 07.00–17.00 WIB. The test results show that the RTC method provides the highest and most stable output power, according to the sun's movement patterns in tropical areas, while the LDR method responds quickly to changes in light intensity but is less stable in changing weather. Static installation produces the lowest power. This system is able to maintain the panel orientation perpendicular to the sun's rays, thus increasing energy efficiency compared to static systems. These findings prove that dual-axis solar tracker technology, especially with an RTC sensor, is effective in dynamic maritime environments and can be a practical solution for optimizing renewable energy on ships. The most effective results using RTC sensors demonstrated the most stable and high power output, especially since the sun in tropical areas like Surabaya moves fairly consistently following a cyclical pattern. The success of this system not only increases the energy output of solar panels but also provides a practical solution for renewable energy applications in tropical climates.

The Motor Operated Valve (MOV) is a critical component in fluid control systems at Steam Power Plants (PLTU). Training new technicians is often hindered by limited access to actual equipment and operational safety risks. This research aims to design and develop an Arduino-based MOV control module simulator capable of simulating basic functions such as open, close, stop, and limit switch responses. The method used is Research and Development (R&D) with an experimental approach. The simulator was tested using a DC motor as the simulated valve actuator, equipped with push buttons, relays, limit switches, and indicator lamps for visual feedback. The test results showed that the simulator successfully represented control functions with 100% accuracy in limit switch responses and consistent operation. User evaluations involving ten new technicians indicated an 85% satisfaction rate in terms of ease of understanding and operational safety. This simulator has proven to be an effective, interactive, and safe learning medium for new technicians at PLTU Nagan Raya.  

In engineering practice, various methods have been implemented to stabilize landslide-prone slopes, one of which is the use of bore piles. Bore piles are structures that hold back soil and make slopes more stable by reinforcing the ground inside them. However, the application of bore piles in landslide mitigation presents its own challenges, making it essential to identify and anticipate potential issues that may arise in field engineering practice. Bore piles are installed vertically, either parallel or staggered, at specific spacing and are often combined with capping beams and struts to resist soil movement and provide lateral restraint. This method is commonly applied to high-risk slopes or critical infrastructures such as roads, bridges, and buildings. Anticipation strategies in engineering practice consist of three stages: planning, implementation, and long-term maintenance, with this study focusing specifically on anticipation strategies during the implementation stage. Although bore piles serve as an effective solution to reduce landslide risk, their success depends heavily on proper planning, construction execution, and maintenance. Issues such as soil conditions, construction quality, and external factors must be addressed through a comprehensive engineering approach.

This study addresses the urgent need for digital transformation at Percetakan Rajawali, a printing company currently reliant on manual order processes, which leads to service delays, recording errors, and lack of transparency. The research aims to design and implement a web-based online ordering information system to facilitate customer orders, accelerate confirmation and order tracking, and improve the efficiency of order data management. Adopting the linear and sequential Waterfall methodology, the study progressed through stages of system analysis, design, coding, testing, and maintenance. The key findings include the successful design of a comprehensive system featuring product catalogs, an online ordering module with real-time cost calculation, integrated payment management, and an admin dashboard for order processing. The system is designed with user-centered and secure principles, expected to significantly enhance operational efficiency, service speed, and customer satisfaction by providing an integrated, transparent, and accessible online ordering platform.

Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.

Web security is an important aspect in maintaining data integrity and confidentiality in the digital age, where cyber threats are increasingly complex and difficult to detect. This research was conducted because there are still many web systems that are vulnerable to attacks due to weak early detection of security gaps. For this reason, this study implements a combination of Nmap and Metasploit Framework as the main tools in proactively detecting and testing system vulnerabilities. The research method was carried out in three stages, namely data collection by scanning the network using Nmap to identify open ports and services, selecting the appropriate testing tools, and controlled exploitation using Metasploit on the Metasploitable2 test system. The results of the study show that Nmap is capable of mapping the attack surface in detail, while Metasploit can validate the scan results through exploitation of vulnerable services such as vsftpd 2.3.4, which successfully provided root access to the target system. The combination of these two tools has proven to be effective in conducting systematic, fast, and accurate early detection of attacks, so that it can be used as a preventive measure to improve web security from potential cyber threats.

CV KIA is a shop engaged in the field of computer sales and services, coming directly to make transactions and provide computer service information services. So there are obstacles that are quite time consuming and transportation costs for customers to find out information on goods, stock of goods, and the process of purchasing goods because customers have to come directly to the store. Product information on CV Kia cannot be updated in real time so that there is a delay in calculating stock of goods. The method used in this study is the prototype development method and is designed using UML. This system uses two programming languages, namely PHP. Implementation using the Xampp application, and MySQL. The results of this study are the design and creation of a web-based sales information system. The system that is built will also later facilitate the sales transaction process which can later reduce the level of competition with the outside market. This system displays information about product sales, and can carry out the sales transaction process so that customers do not need to come to the store to get information and make product purchases. The results of testing that has been carried out involving 10 Respondents that the conclusion of the quality of the feasibility of the software produced has a percentage of success with an average total of 100%.  Keywords: Sales, Prototype, PHP, Information Systems, Sublime Text

Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy and RADAR-IoT support personalized medical recommendations and cross-platform interoperability. However, key challenges persist, including patient data privacy and security, system interoperability issues, data fragmentation, and barriers to user acceptance due to cost, digital literacy, and device comfort. Proposed solutions include blockchain for secure data sharing, adaptive congestion control for network performance, and user training to improve technology adoption. Therefore, successful IoT deployment in healthcare requires a comprehensive approach that addresses technological, social, ethical, and sustainability aspects to achieve an effective and inclusive transformation of health services.

This research examines the application of the Elliptic Curve Digital Signature Algorithm (ECDSA) in a blockchain system as a security solution for digital payment systems in Indonesia. Using a descriptive-qualitative approach based on literature review and conceptual simulations using Python, this study discusses the working principles of ECDSA, its advantages over other digital signature algorithms, and the challenges of its adoption in Indonesia. The results show that ECDSA provides high cryptographic efficiency, maintains transaction authenticity and integrity, and supports a transparent decentralized system. The academic simulations include not only KYC processes, top-ups, transactions, validation by validators, and block recording, but also demonstrates the formation of an interconnected multi-level blockchain and tests scenarios for rejecting manipulated or invalid transactions. The contribution of this research lies not only in the theoretical review but also in the implementation illustrations that can be used as a basis for education and the initial development of blockchain-based digital payment systems. The research results show that ECDSA is capable of providing a high level of efficiency in the encryption and transaction verification process, maintaining data integrity and authenticity, and supporting a decentralized and transparent system. The academic simulations included the KYC process, wallet creation using ECDSA keys, balance top-ups through bank integration, transaction creation and validation, and block recording in the blockchain. Specifically, the simulations successfully demonstrated how new blocks are added to the chain by referencing the previous block's hash, as well as how transactions with corrupted signatures, manipulated amounts, or insufficient balances are automatically rejected by the validator consensus mechanism, maintaining system integrity. This research contributes not only theoretically, but also through conceptual representations that can be used as an educational foundation and for the initial development of blockchain-based digital payment systems in Indonesia.

The growing interest in learning the Japanese language in Indonesia, driven by popular culture such as anime, creates a need to understand the effectiveness of different learning media. The non-uniform effectiveness of media for each individual poses a major challenge. Therefore, this study aims to analyze the effectiveness of both anime and textbooks by segmenting learner profiles and identifying key determinants of success using an artificial intelligence approach. This research employed a quantitative method through a questionnaire survey of 120 respondents. The data were analyzed in two stages: the K-Means Clustering algorithm was used to group respondents into learner profiles, and the Decision Tree algorithm was used to identify the most significant factors that differentiate these profiles. The analysis successfully identified three distinct learner profiles: "Intensive & Adaptive Learner," "Flexible Learner," and "Passive Learner." The decision tree revealed that the perception of textbook effectiveness and the frequency of anime use are the strongest predictors in determining a learner's profile, more so than theoretical learning style preferences. It is concluded that media effectiveness is highly dependent on the learner's behavioral and perceptual profile, which underscores the importance of a personalized approach in language education technology.

Current advances in information technology have encouraged universities to utilize student academic data as a basis for decision-making, one of which is predicting academic achievement. This study aims to apply the C4.5 algorithm to develop a system for predicting student academic success in the Islamic Religious Education Study Program. This method was chosen because it produces a decision tree model that is easy to understand and has a high level of accuracy. The data used comes from student achievement indexes from semesters 1 to 5. The research results showed that the prediction system achieved 99.62% accuracy and achieved high recall precision across each class category. This demonstrates the effectiveness of the C4.5 algorithm in predicting student academic achievement and has the potential to serve as a valuable tool for decision-makers in higher education.

This community service program aims to enhance public awareness and skills in managing household waste through an innovative recycling-based approach. The main problems identified in the target community include limited understanding of waste segregation, lack of knowledge regarding the economic potential of household waste, and insufficient skills to transform waste materials into useful products. To address these issues, the program was implemented through several stages, including an initial survey to identify community needs, environmental education and awareness sessions, hands-on training on producing recycled products, and continuous mentoring to ensure the sustainability of the activities.The results show a significant increase in participants’ knowledge of proper waste management and recycling concepts. Moreover, the community successfully produced various creative and functional recycled items such as plant pots, household crafts, and other aesthetically valuable products with economic potential. The program also facilitated the establishment of a resident group committed to continuing the initiative independently. Overall, this community service activity demonstrates that practical environmental education can effectively foster ecological awareness, strengthen community participation, and create opportunities for local economic empowerment through the utilization of household waste.

This community service activity, carried out by KKN Group 62 Rempang Eco City, Senbulang, Universitas Maritim Raja Ali Haji, aims to enhance the skills and economic value of coastal communities through the utilization of gonggong shells (Strombus sp.) as raw materials for handicrafts. Gonggong is widely known as a food source, while its shells remain underutilized and are often discarded as waste. The program was implemented through a training activity on making keychains from gonggong shells in Rempang Eco City. The methods included socialization, demonstration, and hands-on practice accompanied by guidance from the facilitators. The results show that participants improved their ability to process gonggong shells into simple craft products with potential market value. Although the activity was still limited to initial production and did not yet cover marketing, it successfully provided new insights and opened opportunities for creative entrepreneurship within the community. With further assistance and development, gonggong shell utilization is expected to evolve into a sustainable handicraft business that contributes to the economic welfare of coastal communities.

International criminal law is a crucial instrument within the international legal system designed to address serious crimes that transcend national jurisdiction, such as genocide, war crimes, and crimes against humanity. International criminal law serves as a means to uphold justice, maintain international order, and prevent impunity for perpetrators of serious crimes that have a broad impact on the global community. This study aims to examine the enforcement of international criminal law in the modern era, emphasizing law enforcement mechanisms and the role of cooperation between states and international institutions. The research method used is normative juridical research, with an approach to relevant laws and regulations, legal doctrine, and court decisions. The results indicate that the effectiveness of international criminal law enforcement still faces various obstacles, primarily stemming from state political interests, weak commitment to international cooperation, and inconsistencies between legal norms and their implementation. The principle of complementarity is a fundamental element of this system, as it positions states as the primary actors in the prosecution process, while international judicial institutions play a complementary role if national mechanisms are ineffective. Furthermore, harmonization of national laws with international criminal law provisions and strengthening cross-border cooperation are determining factors in the success of law enforcement. This study concludes that synergy between states and international institutions, accompanied by strong political commitment, is a key prerequisite for the realization of a just and sustainable international criminal law enforcement system.

This study aims to analyze the organizational structure, main tasks and functions, and challenges faced by the Legal Section in carrying out its role as a center for local government legal services. The research method used a qualitative approach through interviews with the Head of the Legal Section, direct observation in the work environment, and literature studies of various related documents and regulations. The results of the study indicate that the organizational structure of the Legal Section consists of functional positions, implementing officers, and temporary employees, each of which has a crucial role in supporting the legal product drafting process. However, the effectiveness of organizational performance still faces obstacles, particularly related to employee discipline, work ethic, and efforts to build a culture of bureaucratic integrity. The Head of the Legal Section emphasized that the quality of human resources is a key factor in determining the success of the process of harmonization of regulations and legal services. Thus, a sustainable apparatus development strategy and strengthening of the work system are needed so that the Legal Section can carry out its functions optimally in supporting the implementation of the Palangka Raya City government.

This study focuses on the development of pumpkin shortcake (Curcubita moschata) as a dessert innovation, utilizing the potential of Indonesia’s local food resources, which are highly nutritious and widely available. Pumpkin is well known for its high dietary fiber content that supports digestion, as well as its antioxidant properties that may reduce the risk of cancer and chronic diseases. While traditional shortcakes are commonly made with strawberries, this innovation aims to substitute conventional ingredients with pumpkin, thereby not only enhancing nutritional value but also supporting the local farming economy. The main objectives of this research are to identify the production process and formulation of pumpkin shortcake, evaluate consumer acceptance of the product, and analyze packaging and presentation strategies that enhance consumer appeal. The production process involved selection, washing, steaming, and pureeing of pumpkin, followed by weighing, mixing, molding, baking, cooling, filling, and cutting. The third experiment successfully produced a product that met all sensory criteria, including color, taste, texture, and aroma. A hedonic test involving 35 untrained panelists indicated that pumpkin shortcake with 25% liquid milk and 75% pumpkin (Code 731) was the most preferred, particularly in terms of taste and color, while the 50% milk and 50% pumpkin formulation (Code 281) was most favored for aroma and texture. The findings conclude that the formulation of pumpkin shortcake with 25% liquid milk and 75% pumpkin is the most accepted by consumers. Attractive packaging and presentation are also emphasized as essential strategies to enhance product appeal and market value.

Halal tourism has continued to grow as a highly attractive segment for Muslim travelers, particularly in the provision of Sharia-compliant accommodation such as Islamic hotels. This study aims to examine consumer perceptions of halal food-and-beverage facilities and Sharia-based operational standards in Islamic hotels across the Greater Jakarta area (Jabodetabek). A descriptive quantitative approach was employed, involving 150 respondents who had stayed in Sharia hotels. Data were collected through closed-ended Likert-scale questionnaires and analyzed using the Weighted Mean Score (WMS) technique to evaluate respondents’ assessments of each indicator. The results indicate that consumer perception of halal food-and-beverage facilities falls into the very high category, with average scores exceeding 4.838. Consumers acknowledged that Sharia hotels maintain halal assurance, hygiene, and food safety through proper processing and the availability of halal certification. Regarding operational aspects, consumer perception is also classified as very good, with an average score of 4.606, particularly for policies prohibiting unmarried couples from sharing a room and banning entertainment deemed inappropriate or immoral. However, the use of Sharia-compliant financial institutions still requires improvement. Overall, the findings affirm that Sharia hotels in Jabodetabek have successfully implemented most Sharia principles, although further enhancement of internal operational practices is needed to achieve more comprehensive Sharia compliance.

This study aims to analyze the implementation of the Balanced Scorecard (BSC) as a strategic performance evaluation tool in the era of digital transformation. Using a descriptive qualitative approach within the social constructivist paradigm, data were collected through in-depth interviews, non-participant observation, and document analysis in three organizations undergoing digitalization. Thematic analysis (Braun & Clarke, 2006) identified four main themes in the application of the BSC: digital strategy alignment, digital readiness and data integration, a culture of learning and innovation, and adaptive leadership transformation. The findings indicate that the BSC functions not only as a performance measurement system but also as an adaptive, collaborative, and data-driven strategic management framework. The integration of digital technologies accelerates decision-making processes and strengthens reflective organizational culture. Theoretically, this study extends the classical BSC model of Kaplan and Norton (1996, 2001) toward a Digital Balanced Scorecard that emphasizes synergy among strategy, data, and organizational learning. Practically, the results highlight the importance of digital readiness, an innovation-oriented culture, and adaptive leadership as key foundations for successful BSC implementation in the era of digital disruption.

After achieving success with the #LoveAvoskinLoveEarth initiative, Avoskin continues its efforts by launching a new eco-friendly campaign called #MulaiDariMejaRias. In this campaign, Avoskin invites skincare product users to be more careful in choosing care items, and to use appropriate products for simplicity and sustainability. Brand image plays a very important role in marketing its products. One way to build a positive view in the community is through campaign activities. This study aims to analyze the impact of the message from the #MulaiDariMejaRias campaign via Instagram @avoskinbeauty, assess Avoskin's Brand Image related to the campaign, and evaluate the influence of public relations messages in the #MulaiDariMejaRias campaign on Avoskin's Brand Image on Instagram. The theory applied in this study refers to Messages from Perloff (2017), Soemirat, Soleh & Ardianto (2018) regarding brand image variables. The approach used in this study is a quantitative approach with a survey method to 86 respondents of Instagram followers @avoskinbeauty, using a random sampling technique. The research results showed a 41% impact of the #MulaiDariMejaRias public relations campaign message on Avoskin's brand image on Instagram. Furthermore, the #MulaiDariMejaRias campaign message was emotionally and linguistically effective, and the campaign successfully improved brand image through audience attitudes.